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A new filtering method for ultrasound images incorporating prior statistics concerning medical features

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Organization
Abstract
20 To 50 percent of the neonates with a very low birth weight (VLBW: < 1500 g) suffer from White Matter Damage (leukomalacia). Nowadays the diagnosis of WND is still solely dependent on the visual interpretation by an expert. A need for a (semi-) computerized way of segmenting the affected regions, in order to make quantitative measurements as an aid to the subjective diagnosis, is felt. Applying active contours for this purpose, is a classical approach. The performance of active contours for this purpose, however, is heavily deteriorated by the presence of speckle noise. In this paper a new filter, taking into account local statistics in the image, is proposed; it removes a significant amount of speckle noise in the healthy parts, while it makes the areas affected by WMD more uniform, thus severely improving the performance of the active contour. The results show that applying an active contour after the proposed technique yields a segmentation much closer to that of an expert.
Keywords
PROSTATE, ENHANCEMENT, MODEL, NOISE

Citation

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Chicago
Stippel, Gjenna, Ivana Duskunovic, Wilfried Philips, A Zecic, P Govaert, and Ignace Lemahieu. 2001. “A New Filtering Method for Ultrasound Images Incorporating Prior Statistics Concerning Medical Features.” In 2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS, 821–824. New York, NY, USA: IEEE.
APA
Stippel, G., Duskunovic, I., Philips, W., Zecic, A., Govaert, P., & Lemahieu, I. (2001). A new filtering method for ultrasound images incorporating prior statistics concerning medical features. 2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS (pp. 821–824). Presented at the International Conference on Image Processing (ICIP 2001), New York, NY, USA: IEEE.
Vancouver
1.
Stippel G, Duskunovic I, Philips W, Zecic A, Govaert P, Lemahieu I. A new filtering method for ultrasound images incorporating prior statistics concerning medical features. 2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS. New York, NY, USA: IEEE; 2001. p. 821–4.
MLA
Stippel, Gjenna, Ivana Duskunovic, Wilfried Philips, et al. “A New Filtering Method for Ultrasound Images Incorporating Prior Statistics Concerning Medical Features.” 2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS. New York, NY, USA: IEEE, 2001. 821–824. Print.
@inproceedings{402681,
  abstract     = {20 To 50 percent of the neonates with a very low birth weight (VLBW: {\textlangle} 1500 g) suffer from White Matter Damage (leukomalacia). Nowadays the diagnosis of WND is still solely dependent on the visual interpretation by an expert. A need for a (semi-) computerized way of segmenting the affected regions, in order to make quantitative measurements as an aid to the subjective diagnosis, is felt. Applying active contours for this purpose, is a classical approach. The performance of active contours for this purpose, however, is heavily deteriorated by the presence of speckle noise.
In this paper a new filter, taking into account local statistics in the image, is proposed; it removes a significant amount of speckle noise in the healthy parts, while it makes the areas affected by WMD more uniform, thus severely improving the performance of the active contour. The results show that applying an active contour after the proposed technique yields a segmentation much closer to that of an expert.},
  author       = {Stippel, Gjenna and Duskunovic, Ivana and Philips, Wilfried and Zecic, A and Govaert, P and Lemahieu, Ignace},
  booktitle    = {2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS},
  isbn         = {0-7803-6725-1},
  keyword      = {PROSTATE,ENHANCEMENT,MODEL,NOISE},
  language     = {eng},
  location     = {Thessaloniki, Greece},
  pages        = {821--824},
  publisher    = {IEEE},
  title        = {A new filtering method for ultrasound images incorporating prior statistics concerning medical features},
  url          = {http://dx.doi.org/10.1109/ICIP.2001.958620},
  year         = {2001},
}

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